Triple
T20460592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paweł Edelman |
E501912
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Ray
"Ray" is a 2004 biographical film about the life and music of Ray Charles, acclaimed for its performances and cinematography.
|
E231114
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Ray | Statement: [Paweł Edelman, notableWork, Ray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ray Context triple: [Paweł Edelman, notableWork, Ray]
-
A.
Ray
Ray is a masculine given name commonly used in English-speaking countries, often as a short form of Raymond.
-
B.
Ray
Ray is the protagonist of the novel "The Keep," around whom the story’s central psychological and narrative tensions revolve.
-
C.
Ray
Ray is the optimistic Cajun firefly from Disney’s *The Princess and the Frog*, known for his devotion to his love “Evangeline” and his role in aiding Tiana and Naveen.
-
D.
Ray
Ray is the romantic, Cajun firefly character from Disney’s animated film "The Princess and the Frog," known for his heartfelt song "Ma Belle Evangeline."
-
E.
Ray
Ray is the middle name of American country music singer and actor Kenneth Ray Rogers, better known as Kenny Rogers.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ray Triple: [Paweł Edelman, notableWork, Ray]
Generated description
"Ray" is a 2004 biographical film about the life and music of Ray Charles, acclaimed for its performances and cinematography.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ray Target entity description: "Ray" is a 2004 biographical film about the life and music of Ray Charles, acclaimed for its performances and cinematography.
-
A.
Ray
chosen
"Ray" is a 2004 biographical film about the life and music of legendary rhythm and blues musician Ray Charles.
-
B.
Ray
Ray is a central character in the neo-noir crime film "Blood Simple," entangled in a web of betrayal, murder, and moral ambiguity.
-
C.
Ray
Ray is the romantic, Cajun firefly character from Disney’s animated film "The Princess and the Frog," known for his heartfelt song "Ma Belle Evangeline."
-
D.
Ray
Ray is the optimistic Cajun firefly from Disney’s *The Princess and the Frog*, known for his devotion to his love “Evangeline” and his role in aiding Tiana and Naveen.
-
E.
Ray
Ray is the central protagonist of the 2015 thriller film "Hidden," around whom the story’s tense, post-apocalyptic survival narrative revolves.
- F. None of above.
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0b4ad4940819098cf2ff6413574e5 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e696a549a48190a1bcd7a6b0f71a11 |
completed | April 20, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a088b14c2648190ba8d1cf293d74544 |
completed | May 16, 2026, 3:19 p.m. |
| NEDg | Description generation | batch_6a088c58f6748190b9945d6bff0f4b8c |
completed | May 16, 2026, 3:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a088cdecf04819097d6e934acc6c70f |
completed | May 16, 2026, 3:27 p.m. |
Created at: April 16, 2026, 11:33 a.m.